EP3886559B1 - Procédé de détermination des paramètres d'ajustage pour un épandeur agricole - Google Patents

Procédé de détermination des paramètres d'ajustage pour un épandeur agricole Download PDF

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Publication number
EP3886559B1
EP3886559B1 EP19805229.2A EP19805229A EP3886559B1 EP 3886559 B1 EP3886559 B1 EP 3886559B1 EP 19805229 A EP19805229 A EP 19805229A EP 3886559 B1 EP3886559 B1 EP 3886559B1
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Prior art keywords
material type
properties
spreadable material
determined
type
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EP19805229.2A
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German (de)
English (en)
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EP3886559A1 (fr
EP3886559C0 (fr
Inventor
Florian Rahe
Markus Ströbel-Fröschle
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Amazonen Werke H Dreyer SE and Co KG
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Amazonen Werke H Dreyer SE and Co KG
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    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01C—PLANTING; SOWING; FERTILISING
    • A01C17/00—Fertilisers or seeders with centrifugal wheels
    • A01C17/006—Regulating or dosing devices
    • A01C17/008—Devices controlling the quantity or the distribution pattern

Definitions

  • the invention relates to a method for determining setting parameters for an agricultural spreading machine according to the preamble of patent claim 1.
  • suitable setting parameters When spreading grit on agricultural land, suitable setting parameters must be set on the agricultural spreader so that the intended spreading result is achieved during the spreading process.
  • Spreading tables have been used for this purpose, from which the farmer can read suitable setting parameters for a planned spreading process depending on the spreader used, the type of grit to be spread and the intended working width.
  • farmers are increasingly finding this process to be complex and relatively laborious. This is particularly due to the fact that the farmer must have detailed information about the planned spreading process in order to determine suitable setting parameters.
  • the object underlying the invention is therefore to simplify the determination of setting parameters for an agricultural spreader.
  • the object is achieved by a method of the type mentioned at the outset, wherein the setting parameters for an agricultural spreader for a planned spreading process are determined by an evaluation device on the basis of the properties of the type of spreading material, which were determined by means of one or more mobile methods, and an indication of the intended working width for the planned spreading process.
  • the invention makes use of the knowledge that by applying one or more mobile methods for determining properties of a
  • the type of spreading material can be avoided by the farmer having to provide the determined properties himself in order to determine suitable setting parameters. This means that the farmer does not necessarily need to have detailed knowledge of the planned spreading process, since the necessary information on the planned spreading process can also be determined using one or more mobile methods in advance of the actual spreading process.
  • the evaluation device can, for example, be part of a central computer system external to the machine, in particular a server.
  • the central computer system can, for example, be operated by the manufacturer of the agricultural spreader or a third-party provider.
  • the evaluation device can be part of a mobile terminal.
  • the mobile terminal can also be used to carry out individual steps of one or more mobile methods.
  • the evaluation device can also be part of the agricultural spreader.
  • the setting parameters can relate to a settable speed of at least one distribution disc of the agricultural spreader and/or a settable value for the point at which the spreading material is dropped onto the at least one distribution disc of the agricultural spreader.
  • the setting parameters can also relate to the throwing distance of the spreading material and/or the throwing angle or throwing direction of the spreading material.
  • the setting parameters can also relate to the opening size, the opening shape and/or the opening position of a spreading material feed opening of the agricultural spreader. If a distribution disc with one or more throwing blades is used to spread the spreading material, the setting parameters can relate to the blade position, the blade inclination, the blade alignment and/or the blade length of the one or more throwing blades of the distribution disc of the agricultural spreader.
  • the setting parameters can relate to the chute inclination, the chute alignment and/or the chute position.
  • the setting parameters may concern the distribution disc and/or its geometry and/or its throwing blade type.
  • the properties of the type of grit determined by means of the one or more mobile methods are static grit properties.
  • These static grit properties preferably relate to the grain size and/or the grain size spectrum and/or the bulk density of the type of grit.
  • the static grit properties can also relate to the average grain size of the type of grit.
  • static grit properties are to be understood in particular as the properties of the type of grit that can be determined without evaluating the movement behavior of the type of grit. These are in particular properties that relate to the size, weight and/or density of the grains of the type of grit.
  • the properties of the type of spreading material determined by means of the one or more mobile methods are dynamic spreading material properties.
  • the dynamic spreading material properties preferably relate to a throwing distance and/or a throwing angle of the type of spreading material.
  • the throwing angle can also be calculated from the grain size and the bulk density of the type of spreading material.
  • the throwing distance can also be calculated from the grain size, the bulk density and the throwing angle.
  • a mobile method for determining the properties of the type of grit comprises generating image data which comprise a representation of one or more grains of the type of grit.
  • this mobile method also comprises evaluating the generated image data to determine a grain size or the proportions of different grain sizes of the type of grit shown. Determining the grain size can comprise determining an average grain size or determining a grain size spectrum. On the basis of the determined grain size or the proportions of different grain sizes, further properties of the type of grit can be retrieved from a database.
  • the determined grain size or the determined proportions of different grain sizes in the database Values for the bulk density of the type of spreading material and/or a name of the type of spreading material are stored. By calling up these properties accordingly, the farmer can avoid having to enter the relevant information, which makes it much easier to determine suitable setting parameters for a planned spreading process.
  • a mobile method for determining the properties of the type of spreading material comprises generating image data which comprise a representation of one or more grains of the type of spreading material, wherein the image data is evaluated to identify the type of spreading material represented.
  • properties of the identified type of spreading material are then retrieved from a database.
  • the retrieved properties can be, for example, the bulk density or grain size properties.
  • a method according to the invention is preferred in which the type of grit is identified on the basis of the evaluation of the image data using an artificial neural network.
  • Artificial intelligence can thus be used to identify the type of grit.
  • the method comprises training the artificial neural network using a large number of different image data.
  • the artificial neural network has access to a database on which a large number of image data relating to grit generated as part of mobile methods are stored. In this way, a large database can be used to train the artificial neural network.
  • a mobile method for determining the properties of the type of grit comprises determining the bulk density of the type of grit using a measuring vessel and/or a weight detection device.
  • the measuring vessel can be a measuring cup, for example.
  • the weight detection device can be a scale, for example.
  • the same or another mobile method for determining the properties of the type of grit comprises determining the proportions of different grain sizes of the type of grit using a shaking container.
  • the shaking container preferably comprises different chambers in which, when the Grains of a certain size range are collected in each of the shaker containers.
  • the shaker container has a transparent or partially transparent outer casing so that the different chambers of the shaker container can be seen by a user from the outside.
  • a mobile method for determining the properties of the type of spreading material comprises positioning one or more collecting devices on the agricultural area and/or generating image material relating to the distribution of the spreading material collected by the one or more collecting devices during a test application.
  • the image material is preferably generated using a mobile terminal.
  • the generated image material is preferably evaluated by the evaluation device or by an application on a mobile terminal.
  • the generated image material is preferably photos of the collecting devices.
  • the collecting devices are preferably mats, in particular plastic mats.
  • the collecting devices can each have a plurality of collecting elements, such as knobs, rods or fibers, on their upper side.
  • a mobile method for determining the properties of the type of spreading material comprises detecting an actual throwing distance of the type of spreading material using a throwing distance measuring device of the agricultural spreading machine.
  • the same or another mobile method for determining the properties of the type of spreading material comprises detecting an actual throwing angle of the type of spreading material using a throwing angle measuring device of the agricultural spreading machine.
  • the throwing distance measuring device and/or the throwing angle measuring device can comprise one or more sensors and/or one or more cameras which monitor the spreading compartments of the agricultural spreading machine.
  • the sensors can in particular be radar sensors.
  • a method according to the invention is advantageous in which a user is provided with an input option via which the type of spreading material to be spread as part of the planned spreading process can be defined.
  • the type of spreading material can be determined on the basis of the The properties of the type of grit determined within the framework of one or more mobile methods can be identified.
  • the input option for the user is preferably provided on a mobile device, which is preferably also used to implement one or more mobile methods.
  • the input for defining the type of grit to be spread can be an alphanumeric entry of an abbreviation, code or the name of the type of grit. Alternatively, the input can also be a selection from a list of a large number of types of grit.
  • the type of grit is identified on the basis of the properties of the type of grit determined preferably using a database.
  • the database can be used to assign the properties of the type of grit determined to a specific type of grit so that the type of grit can be identified accordingly.
  • a method according to the invention is advantageous in which the type of grit is identified on the basis of one or more of the following properties of the type of grit: grain size, bulk density, throwing distance, throwing angle. In some cases, one of these properties may be sufficient to identify the type of grit. In other cases, or to increase the reliability of identifying the type of grit, several or all of these properties may be taken into account when identifying the type of grit.
  • the setting parameters for the agricultural spreader for the planned spreading process are also determined on the basis of properties of the type of spreading material previously provided by other users and stored on a database or a server.
  • the storage device or the server can include the database described above or have access to it.
  • it can be checked whether further properties for this type of spreading material are available on the database or server. If this is the case, the further properties can be taken into account when determining the setting parameters for the agricultural spreader for the planned spreading process, so that the determination can be made with increased precision.
  • a method according to the invention is advantageous in which the determination of setting parameters and/or the identification of the type of grit is carried out based on the release properties and/or flight properties of the type of grit.
  • a release property is, for example, the release angle.
  • a flight property is, for example, the flight distance.
  • the release properties and/or flight properties can be determined, for example, using one or more mobile methods.
  • setting parameters for the agricultural spreader for the planned spreading process are determined using an artificial neural network. In this way, setting parameters are determined using artificial intelligence.
  • the artificial neural network is trained using the properties of the type of grit determined in the context of one or more mobile methods. Based on appropriate training of the artificial neural network, the precision in determining setting parameters can be further increased without the need for further time-consuming and/or costly measures.
  • a method according to the invention is advantageous in which retrievable setting recommendations for the agricultural spreader are updated or adapted by the evaluation device on the basis of the properties of the type of spreading material determined in the context of one or more mobile methods.
  • the setting values retrieved from the database can be improved by measurements and/or the values in the database can be updated using the measured values.
  • the determined properties of the type of spreading material can be taken into account in a weighted manner.
  • the determined properties of the type of spreading material can be checked for plausibility. If the properties are not plausible, they can also be discarded and not taken into account when updating or adapting the retrievable setting recommendations.
  • Fig. 1a to 1d show different steps of a method for determining setting parameters 18a, 18b for an agricultural spreader 24.
  • properties of a type of spreading material are first determined using two different mobile methods.
  • the first mobile method is shown, with which a static property of the spreading material, namely the grain size spectrum of the spreading material type, is determined.
  • image data is first generated using a mobile terminal 10, namely a smartphone, which includes a representation of several grains of the spreading material type.
  • the generated image data also shows a reference object, the size of which is known to the application used on the mobile terminal 10.
  • the reference object can, for example, be an edge or an edge area of the container in which the spreading material is located during image generation, i.e. when it is photographed.
  • the image data is evaluated by the application on the mobile terminal 10 to record the grain size spectrum.
  • the determined grain size spectrum is then provided to an evaluation device 12, whereby the evaluation device 12 is part of a central computer system, namely an external server.
  • the evaluation device 12 has a database 14, via which the type of grit can be identified on the basis of the recorded grain size spectrum. Alternatively, the type of grit can also be identified directly from the image material. In this case, the image material is sent to the evaluation device 12 for evaluation. provided.
  • the identification of the type of grit by the evaluation device 12 can be carried out using an artificial neural network.
  • the artificial neural network can be trained using the image data of different users so that the identification of grit types is improved accordingly.
  • the second mobile method is shown, with which a dynamic spreading material property, namely the transverse distribution of the spreading material type, is determined with preset setting parameters.
  • a dynamic spreading material property namely the transverse distribution of the spreading material type
  • several collecting devices 16a, 16b are positioned on the agricultural area before a test application of the spreading material is carried out on the agricultural area.
  • the collecting devices 16a, 16b are arranged to the side of a driving lane at different distances from the driving lane in the transverse direction.
  • the collecting devices 16a, 16b are designed as plastic mats and have knobs on their upper side so that spreading material thrown out during the test application is caught by the collecting devices 16a, 16b.
  • image material is generated which relates to the distribution of the spreading material caught by the collecting devices 16a, 16b during the test application.
  • the transverse distribution of the spreading material type can be determined with the preset setting parameters. The determined transverse distribution is then also provided to the evaluation device 12.
  • Fig. 1c It is shown that the user has the option of defining the intended working width of the planned spreading process via an input option provided on the mobile device 10. The information on the intended working width is then also made available to the evaluation device 12.
  • the Fig. 1d shows the determination of the setting parameters 18a, 18b for the agricultural spreader 24 for the planned spreading process by the evaluation device 12.
  • the setting parameters 18a, 18b relate to a value to be set for the point at which the spreading material is placed on the distribution discs 26a, 26b of the agricultural spreader 24 as well as the speed to be set on the distribution discs 26a, 26b.
  • the setting parameters 18a, 18b for the agricultural spreader 24 for the planned spreading process are determined on the basis of the information previously provided via the mobile terminal 10, i.e. the grain size spectrum, the transverse distribution of the type of spreading material with preset setting parameters and the intended working width. Since additional properties of the type of spreading material were also retrieved from the database 14 on the basis of the information provided, the setting parameters 18a, 18b for the agricultural spreader 24 for the planned spreading process are also determined on the basis of the properties of the type of spreading material stored in the database 14.
  • the determination of the setting parameters 18a, 18b for the agricultural spreader 24 by the evaluation device 12 can be carried out using an artificial neural network and can thus be based on artificial intelligence.
  • the artificial neural network can also be trained with information provided by different users so that the parameter determination is constantly improved.
  • retrievable setting recommendations for the agricultural spreader 24 can be adjusted or updated by the evaluation device 12 on the basis of the properties of the type of spreading material determined as part of the mobile method.
  • Fig. 2a to 2d show different steps of a method for determining setting parameters 18a, 18b for an agricultural spreader 24.
  • properties of a type of spreading material are determined by means of two different mobile methods.
  • the first mobile method is shown, with which a static property of the spreading material, namely the bulk density of the spreading material type, is determined.
  • a static property of the spreading material namely the bulk density of the spreading material type
  • the volume and weight of a quantity of the spreading material type is determined using a measuring vessel 20 designed as a measuring cup and a weight detection device 22 designed as a scale.
  • This information is communicated to an application on a mobile terminal 10 by a manual input by a user.
  • the application on the mobile device 10 uses this information to determine the bulk density of the type of grit.
  • the determined bulk density is then provided to an evaluation device 12, wherein the evaluation device 12 is again part of a central computer system, namely an external server.
  • the evaluation device 12 has a database 14, via which the type of grit can be identified on the basis of the recorded bulk density. After the type of grit has been identified, further properties of the identified type of grit stored in the database 14, such as the grain size spectrum, can be called up and provided to the mobile terminal 10. If the type of grit cannot yet be clearly identified on the basis of the bulk density, other properties of the type of grit can also be taken into account, which are determined, for example, using one or more other mobile methods.
  • Fig. 2b It is shown that the user has the option of defining the intended working width of the planned spreading process via an input option provided on the mobile device 10. The information on the intended working width is then also made available to the evaluation device 12.
  • a dynamic spreading material property namely an actual discharge angle of the spreading material type is determined with preset setting parameters.
  • a discharge angle measuring device of the agricultural spreading machine 24 is used.
  • the discharge angle measuring device comprises two groups of sensors 28a, 28b, each of which monitors a spreading fan generated by a distribution disc 26a, 26b.
  • the sensors 28a, 28b are designed as radar sensors. By evaluating the sensor signals, the actual discharge angle of the spreading material type can be determined with the preset setting parameters. The determined discharge angle is then also provided to the evaluation device 12.
  • the Fig. 2d shows the determination of the setting parameters 18a, 18b for the agricultural spreader 24 for the planned spreading process by the evaluation device 12.
  • the setting parameters 18a, 18b again relate to a value to be set for the point at which the spreading material is dropped onto the distribution discs 26a, 26b of the agricultural spreader 24 and the speed to be set on the distribution discs 26a, 26b.
  • the setting parameters 18a, 18b for the agricultural spreader 24 for the planned spreading process are determined on the basis of the information previously provided via the mobile terminal 10, i.e. the bulk density, a discharge angle of the type of spreading material with preset setting parameters and the intended working width, as well as on the basis of properties of the type of spreading material stored in the database 14.
  • Fig. 3a to 3d show different steps of a method for determining setting parameters 18a, 18b for an agricultural spreader 24.
  • properties of a type of spreading material are determined by means of two different mobile methods.
  • the first mobile method is shown, with which a static property of the spreading material, namely proportions of different grain sizes of the spreading material type, is determined.
  • a shaking container 30 is used, into which a quantity of the spreading material type is filled.
  • the shaking container 30 comprises different chambers 32a-32e, in which grains of a certain size range collect when the shaking container 30 is shaken.
  • the information on the quantities of spreading material in the respective chambers 32a-32e is communicated to an application on a mobile terminal 10 by a manual input by the user.
  • the determined proportions of different grain sizes of the type of grit are then made available to an evaluation device 12, whereby the evaluation device 12 is again part of a central computer system, namely an external server.
  • the evaluation device 12 has a database 14, via which the type of grit can be identified on the basis of the recorded proportions of different grain sizes of the type of grit.
  • further properties of the identified type of grit stored in the database 14, such as the bulk density or the grain size spectrum can be called up and made available to the mobile terminal 10. If no clear Identification of the type of grit can also be carried out, other properties of the grit type can also be taken into account, which are determined, for example, using one or more other mobile methods.
  • the user has the option of defining the intended working width of the planned spreading process via an input option provided on the mobile device 10.
  • the information on the intended working width is then also made available to the evaluation device 12.
  • a dynamic spreading material property namely an actual throwing distance of the spreading material type is determined with preset setting parameters.
  • a throwing distance measuring device of the agricultural spreading machine 24 is used.
  • the throwing distance measuring device comprises two groups of optical sensors 34a, 34, each of which monitors a spreading fan generated by a distribution disc 26a, 26b. By evaluating the sensor signals, the actual throwing distance of the spreading material type can be determined with the preset setting parameters. The determined throwing distance is then also provided to the evaluation device 12.
  • the Fig. 3d shows the determination of the setting parameters 18a, 18b for the agricultural spreader 24 for the planned spreading process by the evaluation device 12.
  • the setting parameters 18a, 18b again relate to a value to be set for the point at which the spreading material is dropped onto the distribution discs 26a, 26b of the agricultural spreader 24 and the speed to be set on the distribution discs 26a, 26b.
  • the setting parameters 18a, 18b for the agricultural spreader 24 for the planned spreading process are determined on the basis of the information previously provided via the mobile terminal 10, i.e. the proportions of different grain sizes of the type of spreading material, the throwing distance of the type of spreading material with preset setting parameters and the intended working width, as well as on the basis of properties of the type of spreading material stored in the database 14.

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  • Life Sciences & Earth Sciences (AREA)
  • Soil Sciences (AREA)
  • Environmental Sciences (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
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Claims (14)

  1. Procédé destiné à la détermination de paramètres de réglage (18a, 18b) pour une machine d'épandage agricole (24), comportant les étapes de :
    - détermination de propriétés d'un type de produit d'épandage à l'aide d'un ou de plusieurs procédés mobiles ;
    - fourniture des propriétés déterminées du type de produit d'épandage et d'une indication concernant une largeur de travail envisagée lors d'un processus d'épandage planifié pour un dispositif d'analyse (12) ;
    - détermination de paramètres de réglage (18a, 18b) pour une machine d'épandage agricole (24) pour le processus d'épandage planifié par le dispositif d'analyse (12) sur la base des propriétés déterminées du type de produit d'épandage et de l'indication concernant la largeur de travail envisagée lors du processus d'épandage planifié,
    caractérisé en ce que la détermination de paramètres de réglage (18a, 18b) pour la machine d'épandage agricole (24) pour le processus d'épandage planifié est également effectuée sur la base de propriétés du type de produit d'épandage fournies au préalable par d'autres utilisateurs et enregistrées dans une base de données (14) ou sur un serveur.
  2. Procédé selon la revendication 1,
    caractérisé en ce que les propriétés du type de produit d'épandage déterminées à l'aide de l'un ou des plusieurs procédés mobiles sont des propriétés statiques du produit d'épandage et concernent de préférence la grosseur de grain et/ou le spectre granulométrique et/ou la densité apparente du type de produit d'épandage.
  3. Procédé selon la revendication 1 ou 2,
    caractérisé en ce que les propriétés du type de produit d'épandage déterminées à l'aide de l'un ou des plusieurs procédés mobiles sont des propriétés dynamiques du produit d'épandage et concernent de préférence une distance de projection et/ou un angle d'éjection du type de produit d'épandage.
  4. Procédé selon l'une des revendications précédentes,
    caractérisé en ce qu'un procédé mobile destiné à déterminer les propriétés du type de produit d'épandage comprend au moins l'une des étapes suivantes :
    - génération de données d'image qui comprennent une représentation d'un ou de plusieurs grains du type de produit d'épandage ;
    - analyse des données d'image pour la détermination d'une grosseur de grain ou les proportions de différentes grosseurs de grain du type de produit d'épandage représenté.
  5. Procédé selon l'une des revendications précédentes,
    caractérisé en ce qu'un procédé mobile destiné à déterminer les propriétés du type de produit d'épandage comprend au moins l'une des étapes suivantes :
    - génération de données d'image qui comprennent une représentation d'un ou de plusieurs grains du type de produit d'épandage ;
    - analyse des données d'image pour l'identification du type de produit d'épandage représenté ;
    - extraction des propriétés du type de produit d'épandage identifié à partir d'une base de données (14).
  6. Procédé selon la revendication 5,
    caractérisé en ce que l'identification du type de produit d'épandage est effectuée sur la base de l'analyse des données d'image à l'aide d'un réseau neuronal artificiel.
  7. Procédé selon l'une des revendications précédentes,
    caractérisé en ce qu'un procédé mobile destiné à déterminer les propriétés du type de produit d'épandage comprend au moins l'une des étapes suivantes :
    - détermination de la densité apparente du type de produit d'épandage à l'aide d'un récipient de mesure (20) et/ou d'un dispositif de détection du poids (22) ;
    - détermination des proportions de différentes grosseurs de grain du type de produit d'épandage à l'aide d'un récipient à secousses (30).
  8. Procédé selon l'une des revendications précédentes,
    caractérisé en ce qu'un procédé mobile destiné à déterminer les propriétés du type de produit d'épandage comprend au moins l'une des étapes suivantes :
    - détection d'une distance de projection effective du type de produit d'épandage à l'aide d'un dispositif de mesure de la distance de projection de la machine d'épandage agricole (24) ;
    - détection d'un angle d'éjection effectif du type de produit d'épandage à l'aide d'un dispositif de mesure de l'angle d'éjection de la machine d'épandage agricole (24).
  9. Procédé selon l'une des revendications précédentes,
    caractérisé par au moins l'une des étapes suivantes :
    - fourniture d'une possibilité d'entrée pour un utilisateur, par l'intermédiaire de laquelle le type de produit d'épandage à épandre dans le cadre du processus d'épandage planifié peut être défini ;
    - identification du type de produit d'épandage sur la base des propriétés du type de produit d'épandage déterminées dans le cadre de l'un ou des plusieurs procédés mobiles.
  10. Procédé selon la revendication 9,
    caractérisé en ce que l'identification du type de produit d'épandage est effectuée sur la base d'une ou de plusieurs des propriétés suivantes du type de produit d'épandage : grosseur de grain, densité apparente, distance de projection, angle d'éjection.
  11. Procédé selon l'une des revendications précédentes,
    caractérisé en ce que la détermination de paramètres de réglage (18a, 18b) et/ou l'identification du type de produit d'épandage est/sont effectuée(s) à l'aide de propriétés d'éjection et/ou de propriétés en vol du type de produit d'épandage.
  12. Procédé selon l'une des revendications précédentes,
    caractérisé en ce que la détermination de paramètres de réglage (18a, 18b) pour la machine d'épandage agricole (24) pour le processus d'épandage planifié est effectuée à l'aide d'un réseau neuronal artificiel.
  13. Procédé selon l'une des revendications 6 à 12,
    caractérisé par l'étape :
    - d'apprentissage du réseau neuronal artificiel à l'aide des propriétés du type de produit d'épandage déterminées dans le cadre de l'un ou des plusieurs procédés mobiles.
  14. Procédé selon l'une des revendications précédentes,
    caractérisé par l'étape :
    - d'actualisation ou d'adaptation de recommandations de réglage pouvant être extraites pour la machine d'épandage agricole (24) sur la base des propriétés du type de produit d'épandage déterminées dans le cadre de l'un ou des plusieurs procédés mobiles par le dispositif d'analyse (12).
EP19805229.2A 2018-11-26 2019-11-14 Procédé de détermination des paramètres d'ajustage pour un épandeur agricole Active EP3886559B1 (fr)

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DE102022123599A1 (de) * 2022-09-15 2024-03-21 Amazonen-Werke H. Dreyer SE & Co. KG Verfahren zum Bestimmen einer Ist-Verteilung von Düngerkörnern

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EP3886559C0 (fr) 2024-05-22
DE102018129710A1 (de) 2020-05-28
WO2020109010A1 (fr) 2020-06-04

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